Abstract
Background
Cognitive impairment is a key feature of psychiatric illness, making cognition an
important tool for exploring of the genetics of illness risk. It remains unclear which
measures should be prioritized in pleiotropy-guided research. Here, we generate profiles
of genetic overlap between psychotic and affective disorders and cognitive measures
in Caucasian and Hispanic groups.
Methods
Data were from 4 samples of extended pedigrees (N = 3046). Coefficient of relationship analyses were used to estimate genetic overlap
between illness risk and cognitive ability. Results were meta-analyzed.
Results
Psychosis was characterized by cognitive impairments on all measures with a generalized
profile of genetic overlap. General cognitive ability shared greatest genetic overlap
with psychosis risk (average endophenotype ranking value [ERV] across samples from a random-effects meta-analysis = 0.32), followed by verbal memory
(ERV = 0.24), executive function (ERV = 0.22), and working memory (ERV = 0.21). For bipolar disorder, there was genetic overlap with processing speed (ERV = 0.05) and verbal memory (ERV = 0.11), but these were confined to select samples. Major depressive disorder was
characterized by enhanced working and face memory performance, as reflected in significant
genetic overlap in 2 samples.
Conclusions
There is substantial genetic overlap between risk for psychosis and a range of cognitive
abilities (including general intelligence). Most of these effects are largely stable
across of ascertainment strategy and ethnicity. Genetic overlap between affective
disorders and cognition, on the other hand, tends to be specific to ascertainment
strategy, ethnicity, and cognitive test battery.
Keywords
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References
- Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: A population-based study.Lancet. 2009; 373: 234-239
- Biological insights from 108 schizophrenia-associated genetic loci.Nature. 2014; 511: 421-427
- Harnessing progress in psychiatric genetics to advance population mental health.Am J Public Health. 2019; 109: S171-S175
- The genetic relationship between educational attainment and cognitive performance in major psychiatric disorders.Transl Psychiatry. 2019; 9: 210
- Substantial genetic overlap between neurocognition and schizophrenia: Genetic modeling in twin samples.Arch Gen Psychiatry. 2007; 64: 1348-1355
- A test of the equal environment assumption (EEA) in multivariate twin studies.Twin Res Hum Genet. 2006; 9: 403-411
- New statistical approaches exploit the polygenic architecture of schizophrenia--Implications for the underlying neurobiology.Curr Opin Neurobiol. 2016; 36: 89-98
- Reevaluation of SNP heritability in complex human traits.Nat Genet. 2017; 49: 986-992
- Rediscovering the value of families for psychiatric genetics research.Mol Psychiatry. 2019; 24: 523-535
- Author Correction: Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function.Nat Commun. 2019; 10: 2068
- Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals.Nat Genet. 2018; 50: 1112-1121
- Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence.Nat Genet. 2018; 50: 912-919
- Nonsocial and social cognition in schizophrenia: Current evidence and future directions.World Psychiatry. 2019; 18: 146-161
- Assessing cognitive function in bipolar disorder: Challenges and recommendations for clinical trial design.J Clin Psychiatry. 2015; 76: e342-e350
- Clinical-pathologic study of depressive symptoms and cognitive decline in old age.Neurology. 2014; 83: 702-709
- Cognitive impairment in euthymic major depressive disorder: A meta-analysis.Psychol Med. 2013; 43: 2017-2026
- Uncovering the genetic architecture of major depression.Neuron. 2019; 102: 91-103
- Conducting meta-analyses in R with the metafor package.J Stat Softw. 2010; 36: 1-48
- R: A Language and Environment for Statistical Computing.R Foundation for Statistical Computing, Vienna, Austria2017
- Multipoint quantitative-trait linkage analysis in general pedigrees.Am J Hum Genet. 1998; 62: 1198-1211
- Controlling the false discovery rate: A practical and powerful approach to multiple testing.J R Stat Soc B (Methodol). 1995; 57: 289-300
- Discovering schizophrenia endophenotypes in randomly ascertained pedigrees.Biol Psychiatry. 2015; 77: 75-83
- meta: An R package for meta-analysis.R News. 2007; 7: 40-45
- Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions.Nat Neurosci. 2019; 22: 343-352
- Initial heritability analyses of endophenotypic measures for schizophrenia: The consortium on the genetics of schizophrenia.Arch Gen Psychiatry. 2007; 64: 1242-1250
- Genome-wide association of endophenotypes for schizophrenia from the Consortium on the Genetics of Schizophrenia (COGS) study.JAMA Psychiatry. 2019; 76: 1274-1284
- Emerging phenotyping strategies will advance our understanding of psychiatric genetics.Nat Neurosci. 2020; 23: 475-480
- Genetic correlation profile of schizophrenia mirrors epidemiological results and suggests link between polygenic and rare variant (22q11.2) cases of schizophrenia.Schizophr Bull. 2018; 44: 1350-1361
- How can genetics help understand the relationship between cognitive dysfunction and schizophrenia?.Scand J Psychol. 2018; 59: 26-31
- Genetics of intelligence.Eur J Hum Genet. 2006; 14: 690-700
- Moving from one to many: Insights from the growing list of pleiotropic cancer risk genes.Br J Cancer. 2019; 120: 1087-1089
- Processing speed deficits in schizophrenia: Reexamining the evidence.Am J Psychiatry. 2010; 167: 828-835
- Improved detection of common variants associated with schizophrenia by leveraging pleiotropy with cardiovascular-disease risk factors.Am J Hum Genet. 2013; 92: 197-209
- Common polygenic variation contributes to risk of schizophrenia and bipolar disorder.Nature. 2009; 460: 748-752
- Genetic architectures of psychiatric disorders: The emerging picture and its implications.Nat Rev Genet. 2012; 13: 537-551
- A dimensional approach to the psychosis spectrum between bipolar disorder and schizophrenia: The Schizo-Bipolar Scale.Schizophr Res. 2011; 133: 250-254
- Genome-wide analysis reveals extensive genetic overlap between schizophrenia, bipolar disorder, and intelligence.Mol Psychiatry. 2020; 25: 844-853
- Computerized neurocognitive scanning: I. Methodology and validation in healthy people.Neuropsychopharmacology. 2001; 25: 766-776
- Capturing specific abilities as a window into human individuality: The example of face recognition.Cogn Neuropsychol. 2012; 29: 360-392
- The fusiform face area: A module in human extrastriate cortex specialized for face perception.J Neurosci. 1997; 17: 4302-4311
- A cortical region consisting entirely of face-selective cells.Science. 2006; 311: 670-674
- Can generic expertise explain special processing for faces?.Trends Cogn Sci. 2007; 11: 8-15
- Sad people are more accurate at face recognition than happy people.Conscious Cogn. 2011; 20: 1502-1517
- Explaining sad people’s memory advantage for faces.Front Psychol. 2017; 8: 207
- Mood and memory.Am Psychol. 1981; 36: 129-148
- Are real moods required to reveal mood-congruent and mood-dependent memory?.Psychol Sci. 2000; 11: 244-248
- Interpreting neutral faces as threatening is a default mode for socially anxious individuals.J Abnorm Psychol. 2008; 117: 680-685
- Cross-national epidemiology of major depression and bipolar disorder.JAMA. 1996; 276: 293-299
- Face-memory and emotion: Associations with major depression in children and adolescents.J Child Psychol Psychiatry. 2004; 45: 1199-1208
- Minimal phenotyping yields genome-wide association signals of low specificity for major depression.Nat Genet. 2020; 52: 437-447
- Genetic assessment of additional endophenotypes from the Consortium on the Genetics of Schizophrenia Family Study.Schizophr Res. 2016; 170: 30-40
- A developmental twin study of emotion recognition and its negative affective clinical correlates.J Am Acad Child Adolesc Psychiatry. 2018; 57 (e3): 925-933
- Heritability of neuropsychological measures in schizophrenia and nonpsychiatric populations: A systematic review and meta-analysis.Schizophr Bull. 2017; 43: 788-800
- Brain structure-function associations in multi-generational families genetically enriched for bipolar disorder.Brain. 2015; 138: 2087-2102
- Cognitive traits link to human chromosomal regions.Behav Genet. 2006; 36: 65-76
- The Computerized Neurocognitive Battery: Validation, aging effects, and heritability across cognitive domains.Neuropsychology. 2016; 30: 53-64
Article info
Publication history
Published online: March 17, 2021
Accepted:
March 10,
2021
Received in revised form:
January 8,
2021
Received:
September 8,
2020
Identification
Copyright
© 2021 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
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- Cognitive Endophenotypes: Powerful Tools for Modern Neuropsychiatric Genomics ResearchBiological PsychiatryVol. 90Issue 6
- PreviewProfound cognitive deficits are a common feature of schizophrenia, and substantial impairments are also seen in bipolar disorder (BD) and major depressive disorder, albeit less frequently recognized. These impairments span the range of fluid intelligence functions, with the most severe tending to be in processing speed, working and episodic memory, and executive functioning, and can affect crystallized intelligence by reducing educational attainment. Cognitive deficits are highly correlated with impairments in the ability to perform everyday tasks, called functional capacity, affecting independence in residence, social capability, and employment, and thus directly contribute to the disability associated with these disorders.
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